Electromagnetic compatibility

Focus
This Research Line operates in the field of Electromagnetic Compatibility (EMC). The activity of the EMC Group is mainly focused on (a) theoretical work aimed at the characterization of interference effects in distributed-parameter systems, and (b) development of innovative experimental procedures/setups for EMC assessment. Group expertise ranges over the most relevant EMC subject fields, with emphasis on immunity, emissions and crosstalk in wiring structures, and exploits skilfulness in statistical techniques for EMC and computational electromagnetics. The Group’s approach to research activity involves rigorous theoretical formulations and tools for the solution of EMC problems with distinct applicative nature. Activities are typically carried out in collaboration with leading research institutes and industries worldwide. Particularly, over the past decade research projects have been sponsored by agencies and industries belonging to the Aerospace, Automotive, Energy and Railway sector.
Most relevant research achievements
The research line has pioneered innovative deterministic and statistical EMC prediction models for radiated immunity and crosstalk in complex wiring structures. Also, the Line has established theoretical foundation of immunity characterization test methods based on Bulk Current Injection (BCI) and characterized the relationship between BCI and radiation coupling of electromagnetic noise onto multi-wire cable bundles.
Besides the aforementioned contributions, the Group has obtained relevant results in the following fields:
– Circuit and electromagnetic modeling of RF current injection probes, and innovative BCI tests for the automotive sector
– Prediction tools for conducted emissions in inverter-fed drive systems for electric vehicles
– Theoretical and experimental characterization of electromagnetic noise effects in Controlled-Area-Network (CAN) bus systems
– Development of prediction tools and experimental procedures for the characterization of conducted emissions in dc power systems for spacecraft
– Development of new methodologies for radiated intra-system compatibility verification of spacecraft
– Theoretical EMC assessment and design of innovative powerline communications (PLC) systems for dc power buses
– Design of optimized procedures and setups for radiated emission measurement of high-speed trains
– Design of innovative measurement procedures and systems for the verification of human exposure to electromagnetic fields
– Development and comparative evaluation of sensor arrays in magnetic inverse problems
– Formulation and implementation of high order impedance boundary conditions in the Boundary Element Method (BEM) and the Finite Element Method (FEM)
– Stochastic formulation of the Finite Integration Technique (FIT)
Besides the aforementioned contributions, the Group has obtained relevant results in the following fields:
– Circuit and electromagnetic modeling of RF current injection probes, and innovative BCI tests for the automotive sector
– Prediction tools for conducted emissions in inverter-fed drive systems for electric vehicles
– Theoretical and experimental characterization of electromagnetic noise effects in Controlled-Area-Network (CAN) bus systems
– Development of prediction tools and experimental procedures for the characterization of conducted emissions in dc power systems for spacecraft
– Development of new methodologies for radiated intra-system compatibility verification of spacecraft
– Theoretical EMC assessment and design of innovative powerline communications (PLC) systems for dc power buses
– Design of optimized procedures and setups for radiated emission measurement of high-speed trains
– Design of innovative measurement procedures and systems for the verification of human exposure to electromagnetic fields
– Development and comparative evaluation of sensor arrays in magnetic inverse problems
– Formulation and implementation of high order impedance boundary conditions in the Boundary Element Method (BEM) and the Finite Element Method (FEM)
– Stochastic formulation of the Finite Integration Technique (FIT)